Gradient Boosted Regression (GBR) System

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A Gradient Boosted Regression (GBR) System is a gradient boosted learning system that implements a GBR algorithm to solve a GBR task.

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Example(s):
- sklearn.ensemble.GradientBoostingRegressor [1]
- pyspark.mllib.tree.GradientBoostedTrees.GradientBoostedTrees.trainRegressor [2]
See: Random Forest Regression System.

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